Evidence map›Paper›PMID 18660850›Full record

ArticleCurrent genomics2007

Maps of cis-Regulatory Nodes in Megabase Long Genome Segments are an Inevitable Intermediate Step Toward Whole Genome Functional Mapping.

Lev G Nikolaev, Sergey B Akopov, Igor P Chernov, Eugene D Sverdlov

Open access · bronzeAbstract read
In one paragraph

Article in Current genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Lev G NikolaevShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 16/10 Miklukho-Maklaya,117997, Moscow, Russia.
Sergey B Akopov
Igor P Chernov
Eugene D Sverdlov
Institute of Bioorganic Chemistry · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of complete human and other metazoan genome sequences has greatly facilitated positioning and analysis of various genomic functional elements, with initial emphasis on coding sequences. However, complete functional maps of sequenced eukaryotic genomes should include also positions of all non-coding regulatory elements. Unfortunately, experimental data on genomic positions of a multitude of regulatory sequences, such as enhancers, silencers, insulators, transcription terminators, and replication origins are very limited, especially at the whole genome level. Since most genomic regulatory elements (e.g. enhancers) are generally gene-, tissue-, or cell-specific, the prediction of these elements by computational methods is difficult and often ambiguous. Therefore, the development of high-throughput experimental approaches for identifying and mapping genomic functional elements is highly desirable. At the same time, the creation of whole-genome map of hundreds of thousands of regulatory elements in several hundreds of tissue/cell types is presently far beyond our capabilities. A possible alternative for the whole genome approach is to concentrate efforts on individual genomic segments and then to integrate the data obtained into a whole genome functional map. Moreover, the maps of polygenic fragments with functional cis-regulatory elements would provide valuable data on complex regulatory systems, including their variability and evolution. Here, we reviewed experimental approaches to the realization of these ideas, including our own developments of experimental techniques for selection of cis-acting functionally active DNA fragments from large (megabase-sized) segments of mammalian genomes.

Indexed as

chromatinCpG methylationDNase I hypersensitivityenhancerepigenomicshistone modificationinsulatorPhysicalmappingpromoterreplication originS/MARtranscription factor

Identifiers

PMID18660850
PMCPMC2435361
OpenAlexW2017378473

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.